将大数据转化为可行的见解。Duquesne的分析和信息管理硕士将为您准备将模型，分析方法和可视化工具应用于数据，产生可导致更好业务决策的见解。获得在数据分析和信息管理方面的专业知识，并将重点放在业务战略上。利用讲故事等成熟的技术来交流和解释您的发现。通过可视化了解数据挖掘，数据查询，人工智能，建模见解和行为分析。学习在分析领域使用许多尖端工具，例如Hadoop。在基于项目的课程中，向高层管理人员提出高风险和有影响力的建议。
combined 72 credits for these two degrees (30 credits for the M.S. in Analytics and Information Management and 42 credits for the MBA) is reduced to 67.5 credits through credit-sharing. Students will earn credits toward the MS-AIM for either ISYS-620 Predictive Analytics with Machine Learning or ISYS-622 Behavior Analytics with Visualization by taking STAT-510 Applied Statistics (3 credits). Students will earn credits toward the MBA for ISYS-525 Managing Information (1.5 credits) by taking ISYS-611 Information Systems Ecosystem (3 credits). on prior coursework, students may also be eligible for advanced standing credits for ACCT-501 Accounting Fundamentals, ECON-501 Economics Fundamentals, FINC-501 Finance Fundamentals, and STAT-501 Statistics Fundamentals, each 1.5 credits for a maximum total of 6 credits.